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胸外科手术患者的血流动力学监测

Hemodynamic monitoring in thoracic surgical patients.

作者信息

Raphael Jacob, Regali Lindsay A, Thiele Robert H

机构信息

Department of Anesthesiology, University of Virginia, Charlottesville, Virginia, USA.

出版信息

Curr Opin Anaesthesiol. 2017 Feb;30(1):7-16. doi: 10.1097/ACO.0000000000000408.

Abstract

PURPOSE OF REVIEW

This article reviews the technology and clinical data describing hemodynamic monitoring devices available to anesthesiologists and intensivists caring for patients undergoing thoracic surgical procedures, so that they may better utilize available technology to improve outcomes in this high-risk surgical population.

RECENT FINDINGS

Noninvasive stroke volume monitors are based on several different technology platforms, all of which have distinct performance characteristics. Strong clinical outcomes data support the use of these devices in patients undergoing major surgical procedures although these studies generally do not target thoracic surgical procedures specifically. The predictive ability of respiratory variation (for measuring fluid responsiveness) is controversial in both one lung and low tidal volume ventilation. Extravascular lung water measurements are well validated, predict postoperative lung function, but require the use of transpulmonary thermodilution.

SUMMARY

Technology that has been shown to improve clinical outcomes in major surgical procedures is likely applicable to patients undergoing thoracic surgical procedures; however, several unique features of these procedures limit or modify the way in which these devices can be used. Understanding the scientific basis of these devices is the key to using them effectively.

摘要

综述目的

本文综述了一些技术及临床数据,这些技术和数据描述了麻醉医生和重症监护医生在照顾接受胸外科手术患者时可使用的血流动力学监测设备,以便他们能更好地利用现有技术来改善这一高风险手术人群的治疗效果。

最新发现

无创每搏输出量监测仪基于几种不同的技术平台,所有这些平台都有各自独特的性能特点。强有力的临床疗效数据支持在接受大型手术的患者中使用这些设备,尽管这些研究通常并非专门针对胸外科手术。在单肺通气和低潮气量通气中,呼吸变化(用于测量液体反应性)的预测能力存在争议。血管外肺水测量已得到充分验证,可预测术后肺功能,但需要使用经肺热稀释法。

总结

已证明能改善大型手术临床疗效的技术可能适用于接受胸外科手术的患者;然而,这些手术的几个独特特征限制或改变了这些设备的使用方式。了解这些设备的科学基础是有效使用它们的关键。

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